is a Professor in the Department of Applied Informatics. He received his Ph.D. in Engineering Sciences and M.S. in Applied Mathematics from the Division of Engineering and Applied Sciences at Harvard University. He has held faculty positions in the Department of Mechanical Engineering and the Institute for Systems Research at the University of Maryland, College Park.
His research interests are in the areas of optimization; machine learning; signal processing and smartphone-based applications in medicine; decision and control; and dynamics of socio-economic systems. He is also involved in the mentoring and advising of innovators in these and related areas.
received his Ph.D. in Engineering Sciences ('99) and M.S. in Applied Mathematics ('97) from the Division of Engineering and Applied Sciences at Harvard University. Prior to that, he was a student at Rensselaer Polytechnic Institute (M.S. EE '94) and at U.C. Berkeley (B.Sci. EECS '92). He joined the University of Maryland, College Park, in 1999 as a post-doctoral fellow with the Institute for Systems Research. During 2000-2005 he was a faculty member in the department of Mechanical Engineering and held a joint appointment with the Institute for Systems Research from 2002-2005. Since 2005 he is a faculty member in the Department of Applied Informatics at the University of Macedonia, in Thessaloniki, Greece.
Dr. Hristu-Varsakelis is a Senior Member of the IEEE and a member of SIAM. He is a co-recipient of the 1999 Eliahu Jury award from the Division of Engineering and Applied Sciences, Harvard University, and a co-recipient of the 2005 IFAC Young Author Prize.
Some of his research has dealt with problems of stability and optimal control in networked control systems, machine learning-based optimization and prediction, bio-inspired cooperative optimal control, and provably secure cryptographic protocols. His current interests are in the areas of optimization, machine learning, decision and control, and dynamics of socio-economic systems. He is also involved in the mentoring and advising of innovators and startup companies in related areas.
Students who are in the process of selecting a thesis topic and would like to discuss a possible collaboration should first take a look in the Research (and perhaps Publications) section of my web page to get a sense of the areas I am involved in, and then contact me to discuss their background, preferences and possible topics.
Students pursuing their Bachelor Thesis (Πτυχιακή) should idealy be at the end of their 6th semester and have completed most of their coursework from past semesters. Those interested in selecting a MS Thesis topic should ideally make contact after they have completed their first semester in the Department's MSci program. Ph.D. candidates should have a mathematically rigorous background, with a BS/MS in CS, Engineering, or related field, and strong analytical ability.